Difference between revisions of "ResNet-50"
(Created page with "[http://www.youtube.com/results?search_query=tensorflow+tutorial Youtube search...] * [http://ethereon.github.io/netscope/#/gist/db945b393d40bfa26006 ResNet-50 Architecture i...") |
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* [[(Deep) Residual Network (DRN) - ResNet]] | * [[(Deep) Residual Network (DRN) - ResNet]] | ||
* [[Object Detection; Faster R-CNN, YOLO, SSD]] | * [[Object Detection; Faster R-CNN, YOLO, SSD]] | ||
| + | * [[Deep Learning]] | ||
* [[DeepLens - deep learning enabled video camera]] | * [[DeepLens - deep learning enabled video camera]] | ||
Revision as of 12:04, 24 June 2018
- ResNet-50 Architecture in Detail | Ethereon
- (Deep) Residual Network (DRN) - ResNet
- Object Detection; Faster R-CNN, YOLO, SSD
- Deep Learning
- DeepLens - deep learning enabled video camera
ResNet is a short name for Residual Network. As the name of the network indicates, the new terminology that this network introduces is residual learning. ResNet50 is a 50 layer Residual Network. There are other variants like ResNet101 and ResNet152 also.
== Examples
